by dtormoen · Codex Skill · ★ 159
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tsk-tsk: keeping your agents out of trouble Delegate development tasks to YOLO mode AI agents running in sandbox containers. auto-detects your toolchain and builds container images for you, so most projects require very little setup. Agents work asynchronously and in parallel so you can review their work on your own schedule, respecting your time and attention. Assign tasks using templates that automate prompt boilerplate copies your repo and builds containers with your toolchain automatically Agents work in YOLO mode in parallel filesystem and network isolated containers fetches branches back to your repo for review Review and merge on your own schedule Each agent gets what it needs and nothing more: Agent configuration (e.g. or ) A copy of your repo excluding gitignored files (no accidental API key sharing) An isolated filesystem (no accidental ) A configurable domain allowlist (Agents can't share your code on MoltBook) Each agent runs in an isolated network where all traffic routes through a proxy sidecar, enforcing the domain allowlist. Beyond network restrictions, agents have full control within their container. Supports Claude Code and Codex coding agents.
| Stars | 159 |
| Forks | 16 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 35.9/100 |
| Open Issues | 6 |
| Last Updated | 2026-04-15 |
| Created | 2025-05-31 |
| Platforms | claude-code, codex, rust |
| Est. Tokens | ~797k |
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tsk-tsk is Keeping your agents out of trouble with sandboxed coding agent automation. It is categorized as a Codex Skill with 159 GitHub stars.
tsk-tsk is primarily written in Rust. It covers topics such as agentic-coding, agents, ai.
You can find installation instructions and usage details in the tsk-tsk GitHub repository at github.com/dtormoen/tsk-tsk. The project has 159 stars and 16 forks, indicating an active community.
tsk-tsk is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tsk-tsk on Agent Skills Hub include codegraph-rust, codexia, kindly-web-search-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.